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Vocal Tract Length Normalization for Speech Recognition  

지상문 (경성대학교 컴퓨터과학과)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.7, no.7, 2003 , pp. 1380-1386 More about this Journal
Abstract
Speech recognition performance is degraded by the variation in vocal tract length among speakers. In this paper, we have used a vocal tract length normalization method wherein the frequency axis of the short-time spectrum associated with a speaker's speech is scaled to minimize the effects of speaker's vocal tract length on the speech recognition performance In order to normalize vocal tract length, we tried several frequency warping functions such as linear and piece-wise linear function. Variable interval piece-wise linear warping function is proposed to effectively model the variation of frequency axis scale due to the large variation of vocal tract length. Experimental results on TIDIGITS connected digits showed the dramatic reduction of word error rates from 2.15% to 0.53% by the proposed vocal tract normalization.
Keywords
Vocal tract length normalization; Frequency warping function; Speech recognition;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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